code: def predict(
      self, inputs: Iterable[types.JsonDict], **kw
  ) -> Iterator[types.JsonDict]:
      results = super().predict(inputs, **kw)
      self.predict_counter += 1
      return results
  
imports: from collections.abc import Iterable, Iterator
  from absl.testing import absltest
  from lit_nlp.api import types
  from lit_nlp.components import ablation_flip
  from lit_nlp.examples.models import glue_models
  import numpy
  from lit_nlp.lib import file_cache
label_desc: Use image node_id 2 for calling the SST2ModelWithPredictCounter obj's underlying member method code with example usage: obj.predict(inputs) and returns: results